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Title: Acoustic detection of cracks in the anvil of a large-volume cubic high-pressure apparatus

Abstract

A large-volume cubic high-pressure apparatus with three pairs of tungsten carbide anvils is the most popular device for synthetic diamond production. Currently, the consumption of anvils is one of the important costs for the diamond production industry. If one of the anvils is fractured during the production process, the other five anvils in the apparatus may be endangered as a result of a sudden loss of pressure. It is of critical importance to detect and replace cracked anvils before they fracture for reduction of the cost of diamond production and safety. An acoustic detection method is studied in this paper. Two new features, nested power spectrum centroid and modified power spectrum variance, are proposed and combined with linear prediction coefficients to construct a feature vector. A support vector machine model is trained for classification. A sliding time window is proposed for decision-level information fusion. The experiments and analysis show that the recognition rate of anvil cracks is 95%, while the false-alarm rate is as low as 5.8 × 10{sup −4} during a time window; this false-alarm rate indicates that at most one false alarm occurs every 2 months at a confidence level of 90%. An instrument to monitor anvil crackingmore » was designed based on a digital signal processor and has been running for more than eight months in a diamond production field. In this time, two anvil-crack incidents occurred and were detected by the instrument correctly. In addition, no false alarms occurred.« less

Authors:
; ; ;  [1];  [2]
  1. Key Laboratory of Noise and Vibration Research, Institute of Acoustics, Chinese Academy of Sciences, Beijing 100190 (China)
  2. School of Automation, Beijing University of Posts and Telecommunications, Beijing 100876 (China)
Publication Date:
OSTI Identifier:
22482662
Resource Type:
Journal Article
Resource Relation:
Journal Name: Review of Scientific Instruments; Journal Volume: 86; Journal Issue: 12; Other Information: (c) 2015 AIP Publishing LLC; Country of input: International Atomic Energy Agency (IAEA)
Country of Publication:
United States
Language:
English
Subject:
42 ENGINEERING; 46 INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; ACOUSTIC DETECTION; CRACKS; DIAMONDS; EQUIPMENT; FRACTURES; LOSSES; TUNGSTEN CARBIDES

Citation Formats

Yan, Zhaoli, E-mail: zl-yan@mail.ioa.ac.cn, Tian, Hao, Cheng, Xiaobin, Yang, Jun, and Chen, Bin. Acoustic detection of cracks in the anvil of a large-volume cubic high-pressure apparatus. United States: N. p., 2015. Web. doi:10.1063/1.4939051.
Yan, Zhaoli, E-mail: zl-yan@mail.ioa.ac.cn, Tian, Hao, Cheng, Xiaobin, Yang, Jun, & Chen, Bin. Acoustic detection of cracks in the anvil of a large-volume cubic high-pressure apparatus. United States. doi:10.1063/1.4939051.
Yan, Zhaoli, E-mail: zl-yan@mail.ioa.ac.cn, Tian, Hao, Cheng, Xiaobin, Yang, Jun, and Chen, Bin. 2015. "Acoustic detection of cracks in the anvil of a large-volume cubic high-pressure apparatus". United States. doi:10.1063/1.4939051.
@article{osti_22482662,
title = {Acoustic detection of cracks in the anvil of a large-volume cubic high-pressure apparatus},
author = {Yan, Zhaoli, E-mail: zl-yan@mail.ioa.ac.cn and Tian, Hao and Cheng, Xiaobin and Yang, Jun and Chen, Bin},
abstractNote = {A large-volume cubic high-pressure apparatus with three pairs of tungsten carbide anvils is the most popular device for synthetic diamond production. Currently, the consumption of anvils is one of the important costs for the diamond production industry. If one of the anvils is fractured during the production process, the other five anvils in the apparatus may be endangered as a result of a sudden loss of pressure. It is of critical importance to detect and replace cracked anvils before they fracture for reduction of the cost of diamond production and safety. An acoustic detection method is studied in this paper. Two new features, nested power spectrum centroid and modified power spectrum variance, are proposed and combined with linear prediction coefficients to construct a feature vector. A support vector machine model is trained for classification. A sliding time window is proposed for decision-level information fusion. The experiments and analysis show that the recognition rate of anvil cracks is 95%, while the false-alarm rate is as low as 5.8 × 10{sup −4} during a time window; this false-alarm rate indicates that at most one false alarm occurs every 2 months at a confidence level of 90%. An instrument to monitor anvil cracking was designed based on a digital signal processor and has been running for more than eight months in a diamond production field. In this time, two anvil-crack incidents occurred and were detected by the instrument correctly. In addition, no false alarms occurred.},
doi = {10.1063/1.4939051},
journal = {Review of Scientific Instruments},
number = 12,
volume = 86,
place = {United States},
year = 2015,
month =
}
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